aglinxinyuan commented on code in PR #4444:
URL: https://github.com/apache/texera/pull/4444#discussion_r3143308286
##########
amber/src/main/scala/org/apache/texera/amber/engine/architecture/scheduling/WorkflowExecutionCoordinator.scala:
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@@ -21,25 +21,27 @@ package
org.apache.texera.amber.engine.architecture.scheduling
import com.twitter.util.Future
import com.typesafe.scalalogging.LazyLogging
+import org.apache.texera.amber.core.virtualidentity.OperatorIdentity
import org.apache.texera.amber.core.workflow.{GlobalPortIdentity, PhysicalLink}
import org.apache.texera.amber.engine.architecture.common.{
AkkaActorRefMappingService,
AkkaActorService
}
-import org.apache.texera.amber.engine.architecture.controller.ControllerConfig
+import
org.apache.texera.amber.engine.architecture.controller.{ControllerConfig,
WorkflowScheduler}
import
org.apache.texera.amber.engine.architecture.controller.execution.WorkflowExecution
import org.apache.texera.amber.engine.common.rpc.AsyncRPCClient
import scala.collection.mutable
class WorkflowExecutionCoordinator(
- getNextRegions: () => Set[Region],
+ workflowScheduler: WorkflowScheduler,
Review Comment:
I removed the hard dependency from `WorkflowExecutionCoordinator` to
`WorkflowScheduler` since it's not required by this PR.
The coordinator now depends only on a `Schedule` provider (`() => Schedule`).
But can you explain to me why the design was needed? How can this allow for
updating a workflow during runtime?
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